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archaeologists to understand AI results – Generalization and transferability analyses, considering domain adaptation and transfer learning strategies to ensure model robustness across different geographic regions
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, and operational use of institutional data. The role is focused on ETL/ELT development, data pipeline orchestration, cloud data infrastructure, relational and dimensional data modeling, data warehousing
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About the Opportunity Job Summary The Leadership Relations Team (LRT) operates as both an innovation team and a success and operations team — building new engagement models while also running
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learning and data-centric AI methods to develop reliable models of student engagement and stress and ultimately provide meaningful, data-driven insights for educators. The researcher will work closely with
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data analysis, and artificial intelligence for medical sensing systems Modeling, simulation, and analysis of biophysical processes as well as medical sensing and communication systems Development
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for a Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP: Using science-driven response diversity knowledge to leverage efficient ecosystem preservation and
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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materials synthesis, characterisation, and device fabrication. • Familiarity with computational modelling or data-driven analysis is advantageous. • Ability to work independently as
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required to the Principal Investigator, Dr. Daniel Pauly. Work Performed Statistical Modelling Consult closely with the Principal Investigator (PI) and Research Unit Manager to define research objectives
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15